Senior Research Data Scientist

Position Overview

• Location Type: Hybrid & Flexible Workplace Policy (Bellevue, WA; El Segundo, CA; New York, NY)
• Job Type: Full-time
• Salary: $136,000 - $174,000 USD Annually

iSpot competes for the best talent. Our compensation packages consist of salary and equity in one of Seattle’s hottest start-ups, as well as other standard benefits. Most importantly, we provide a really interesting working experience, and the chance to contribute to the success of something great. The Research Data Science team builds prototypes for innovations in iSpot’s audience measures, lift analytics, and creative testing. After developing new methodologies and building prototypes, we work with our product and engineering teams to scale our models and solutions to satisfy the needs of brands, publishers, networks, and agencies in a constantly evolving marketing landscape.

Requirements

• Degree in mathematics, economics, statistics, software engineering, computer science, physics, or other quantitative discipline. An advanced degree is preferred but not required.
• 5+ years of experience in data science and/or modeling

Responsibilities

• Data Analysis and Modeling: Conduct in-depth data analysis and build advanced statistical models to extract insights from large viewing and demographic datasets.
• Machine Learning Model Development: Develop, train, and deploy state-of-the-art machine learning models to solve a variety of measurement problems.
• Data Pipeline Development: Work with our Data Engineering team to design and implement efficient data pipelines to collect, process, and transform data from various sources.
• Technical Leadership: Provide technical guidance and mentorship to junior data scientists, ensuring best practices and standards are followed.
• Research and Innovation: Stay up-to-date with the latest data science techniques, tools, and technologies, and explore novel approaches to solve complex challenges.

Preferred Skills

• Deep technical understanding of machine learning, statistics, data science, and related fields
• Expert in several quantitative software tools, particularly Python, R, and SQL; willingness to learn new tools as needed
• Expert at wrangling data and debugging the results of machine learning systems
• Experience working with high dimensional data sets
• Pragmatic, team-oriented; builds rapport and respect
• Strong communication, writing, and critical thinking skills; attention to detail
• Track record or desire to mentor top technical talent in the areas of data science, analytics, predictive modeling, and machine learning
• Strong experience in Spark is preferred but not required

Application Instructions

• For more information on total rewards package, go HERE

Company Information

• iSpot supports a hybrid and flexible workplace. Depending on location and work responsibilities, employees may be designated as full-time or part-time office-based or a fully remote employee. A hybrid work schedule indicates that you work in the office some days and work from home other days. The best hybrid workplaces allow for flexibility while also encouraging consistency.
• Non-exempt roles will also be eligible for (pre-approved) overtime pay. Individual compensation packages are influenced by different factors unique to each candidate, including their skills, experience, qualifications and other job-related reasons.